Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	2405
Missing cells	12288
Missing cells (%)	23.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	682.5 B

Variable types

Text	2
DateTime	1
Categorical	8
Numeric	10
Unsupported	1

Alerts

`cant_MontoLimite` has constant value "1.0"	Constant
`cluster_k_4` has constant value "3"	Constant
`anio_preinscripcion` is highly overall correlated with `antiguedad` and 2 other fields	High correlation
`antiguedad` is highly overall correlated with `anio_preinscripcion` and 2 other fields	High correlation
`cant_Apoderado` is highly overall correlated with `cant_antecedentes` and 3 other fields	High correlation
`cant_antecedentes` is highly overall correlated with `anio_preinscripcion` and 5 other fields	High correlation
`cant_noAutenticado` is highly overall correlated with `cant_Apoderado` and 3 other fields	High correlation
`cant_procesos_adjudicado` is highly overall correlated with `monto_total_adjudicado`	High correlation
`cant_sinMontoLimite` is highly overall correlated with `cant_Apoderado` and 3 other fields	High correlation
`cant_suspensiones` is highly overall correlated with `anio_preinscripcion` and 6 other fields	High correlation
`monto_total_adjudicado` is highly overall correlated with `cant_antecedentes` and 2 other fields	High correlation
`total_articulos_provee` is highly overall correlated with `cant_suspensiones`	High correlation
`Estado` is highly imbalanced (64.4%)	Imbalance
`cant_socios` has 297 (12.3%) missing values	Missing
`cant_apercibimientos` has 2405 (100.0%) missing values	Missing
`cant_suspensiones` has 2396 (99.6%) missing values	Missing
`cant_antecedentes` has 2393 (99.5%) missing values	Missing
`cant_Apoderado` has 252 (10.5%) missing values	Missing
`cant_representante` has 788 (32.8%) missing values	Missing
`cant_noAutenticado` has 1321 (54.9%) missing values	Missing
`cant_MontoLimite` has 2401 (99.8%) missing values	Missing
`monto_total_adjudicado` is highly skewed (γ1 = 23.18817223)	Skewed
`CUIT` has unique values	Unique
`cant_apercibimientos` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`antiguedad` has 199 (8.3%) zeros	Zeros

Reproduction

Analysis started	2025-06-24 13:33:05.023480
Analysis finished	2025-06-24 13:33:15.689393
Duration	10.67 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

CUIT
Text

Unique

Distinct	2405
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	178.4 KiB

Length

Max length	20
Median length	11
Mean length	10.979626
Min length	8

Characters and Unicode

Total characters	26406
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2405 ?
Unique (%)	100.0%

Sample

1st row	20305924076
2nd row	30710210000
3rd row	33714924619
4th row	33561600959
5th row	30694465591

Value	Count	Frequency (%)
30711585423	1	< 0.1%
30518773743	1	< 0.1%
20305924076	1	< 0.1%
30710210000	1	< 0.1%
33714924619	1	< 0.1%
30714480347	1	< 0.1%
30515838399	1	< 0.1%
30714864137	1	< 0.1%
30711301638	1	< 0.1%
30639415550	1	< 0.1%
Other values (2395)	2395	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	4578	17.3%
3	3966	15.0%
7	3079	11.7%
1	2719	10.3%
6	2262	8.6%
5	2111	8.0%
2	2005	7.6%
9	1998	7.6%
8	1836	7.0%
4	1791	6.8%
Other values (21)	61	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26406	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4578	17.3%
3	3966	15.0%
7	3079	11.7%
1	2719	10.3%
6	2262	8.6%
5	2111	8.0%
2	2005	7.6%
9	1998	7.6%
8	1836	7.0%
4	1791	6.8%
Other values (21)	61	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26406	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4578	17.3%
3	3966	15.0%
7	3079	11.7%
1	2719	10.3%
6	2262	8.6%
5	2111	8.0%
2	2005	7.6%
9	1998	7.6%
8	1836	7.0%
4	1791	6.8%
Other values (21)	61	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26406	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4578	17.3%
3	3966	15.0%
7	3079	11.7%
1	2719	10.3%
6	2262	8.6%
5	2111	8.0%
2	2005	7.6%
9	1998	7.6%
8	1836	7.0%
4	1791	6.8%
Other values (21)	61	0.2%

Nombre
Text

Distinct	2362
Distinct (%)	98.2%
Missing	0
Missing (%)	0.0%
Memory size	211.2 KiB

Length

Max length	122
Median length	75
Mean length	21.168815
Min length	2

Characters and Unicode

Total characters	50911
Distinct characters	92
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2360 ?
Unique (%)	98.1%

Sample

1st row	Suministros EDA
2nd row	TECNARAN SRL
3rd row	SIGNIFY ARGENTINA S.A.
4th row	Rognoni y CIA SA
5th row	ADSUR S.A..

Value	Count	Frequency (%)
s.a	695	8.8%
srl	433	5.5%
sa	322	4.1%
de	286	3.6%
s.r.l	236	3.0%
argentina	153	1.9%
y	149	1.9%
la	63	0.8%
servicios	61	0.8%
del	48	0.6%
Other values (3331)	5437	69.0%

Most occurring characters

Value	Count	Frequency (%)
	5478	10.8%
A	4355	8.6%
S	3652	7.2%
R	2719	5.3%
E	2654	5.2%
I	2501	4.9%
.	2387	4.7%
O	2129	4.2%
L	1995	3.9%
N	1841	3.6%
Other values (82)	21200	41.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	50911	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5478	10.8%
A	4355	8.6%
S	3652	7.2%
R	2719	5.3%
E	2654	5.2%
I	2501	4.9%
.	2387	4.7%
O	2129	4.2%
L	1995	3.9%
N	1841	3.6%
Other values (82)	21200	41.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	50911	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5478	10.8%
A	4355	8.6%
S	3652	7.2%
R	2719	5.3%
E	2654	5.2%
I	2501	4.9%
.	2387	4.7%
O	2129	4.2%
L	1995	3.9%
N	1841	3.6%
Other values (82)	21200	41.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	50911	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5478	10.8%
A	4355	8.6%
S	3652	7.2%
R	2719	5.3%
E	2654	5.2%
I	2501	4.9%
.	2387	4.7%
O	2129	4.2%
L	1995	3.9%
N	1841	3.6%
Other values (82)	21200	41.6%

FechaPreinscripcion
Date

Distinct	990
Distinct (%)	41.2%
Missing	0
Missing (%)	0.0%
Memory size	37.6 KiB

Minimum	2016-01-08 00:00:00
Maximum	2022-12-09 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Estado
Categorical

Imbalance

Distinct	10
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	183.7 KiB

Inscripto	1904
Desactualizado Por Documentos Vencidos	157
Pre Inscripto	142
Desactualizado Por Mantencion Formulario	140
Desactualizado Por Clase	32
Other values (5)	30

Length

Max length	40
Median length	9
Mean length	13.214137
Min length	9

Characters and Unicode

Total characters	31780
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Inscripto
2nd row	Inscripto
3rd row	Inscripto
4th row	Inscripto
5th row	Inscripto

Common Values

Value	Count	Frequency (%)
Inscripto	1904	79.2%
Desactualizado Por Documentos Vencidos	157	6.5%
Pre Inscripto	142	5.9%
Desactualizado Por Mantencion Formulario	140	5.8%
Desactualizado Por Clase	32	1.3%
En Evaluacion	17	0.7%
Con Solicitud De Baja	10	0.4%
Inhabilitado	1	< 0.1%
Suspendido	1	< 0.1%
Dar De Baja	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inscripto	2046	57.6%
desactualizado	329	9.3%
por	329	9.3%
documentos	157	4.4%
vencidos	157	4.4%
pre	142	4.0%
mantencion	140	3.9%
formulario	140	3.9%
clase	32	0.9%
en	17	0.5%
Other values (8)	62	1.7%

Most occurring characters

Value	Count	Frequency (%)
o	3634	11.4%
c	2856	9.0%
i	2852	9.0%
n	2826	8.9%
r	2798	8.8%
s	2722	8.6%
t	2683	8.4%
I	2047	6.4%
p	2047	6.4%
a	1358	4.3%
Other values (20)	5957	18.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	31780	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3634	11.4%
c	2856	9.0%
i	2852	9.0%
n	2826	8.9%
r	2798	8.8%
s	2722	8.6%
t	2683	8.4%
I	2047	6.4%
p	2047	6.4%
a	1358	4.3%
Other values (20)	5957	18.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	31780	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3634	11.4%
c	2856	9.0%
i	2852	9.0%
n	2826	8.9%
r	2798	8.8%
s	2722	8.6%
t	2683	8.4%
I	2047	6.4%
p	2047	6.4%
a	1358	4.3%
Other values (20)	5957	18.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	31780	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3634	11.4%
c	2856	9.0%
i	2852	9.0%
n	2826	8.9%
r	2798	8.8%
s	2722	8.6%
t	2683	8.4%
I	2047	6.4%
p	2047	6.4%
a	1358	4.3%
Other values (20)	5957	18.7%

TipoSocietario
Categorical

Distinct	11
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	264.2 KiB

Sociedad Anónima	1127
Sociedad Responsabilidad Limitada	699
Persona Física	210
Otras Formas Societarias	107
Organismo Publico	86
Other values (6)	176

Length

Max length	40
Median length	38
Mean length	21.958004
Min length	12

Characters and Unicode

Total characters	52809
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Persona Física
2nd row	Sociedad Responsabilidad Limitada
3rd row	Sociedad Anónima
4th row	Sociedad Anónima
5th row	Sociedad Anónima

Common Values

Value	Count	Frequency (%)
Sociedad Anónima	1127	46.9%
Sociedad Responsabilidad Limitada	699	29.1%
Persona Física	210	8.7%
Otras Formas Societarias	107	4.4%
Organismo Publico	86	3.6%
Persona Jurídica Extranjero Sin Sucursal	80	3.3%
Cooperativas	51	2.1%
Sociedades De Hecho	39	1.6%
Unión Transitoria de Empresas	4	0.2%
Persona Física Extranjero No Residente	1	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sociedad	1826	31.2%
anónima	1127	19.2%
responsabilidad	699	11.9%
limitada	699	11.9%
persona	291	5.0%
física	211	3.6%
otras	107	1.8%
formas	107	1.8%
societarias	107	1.8%
organismo	86	1.5%
Other values (17)	597	10.2%

Most occurring characters

Value	Count	Frequency (%)
a	7160	13.6%
i	6611	12.5%
d	5915	11.2%
n	3505	6.6%
o	3471	6.6%
	3452	6.5%
e	3226	6.1%
s	2492	4.7%
c	2470	4.7%
S	2132	4.0%
Other values (28)	12375	23.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52809	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	7160	13.6%
i	6611	12.5%
d	5915	11.2%
n	3505	6.6%
o	3471	6.6%
	3452	6.5%
e	3226	6.1%
s	2492	4.7%
c	2470	4.7%
S	2132	4.0%
Other values (28)	12375	23.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52809	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	7160	13.6%
i	6611	12.5%
d	5915	11.2%
n	3505	6.6%
o	3471	6.6%
	3452	6.5%
e	3226	6.1%
s	2492	4.7%
c	2470	4.7%
S	2132	4.0%
Other values (28)	12375	23.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52809	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	7160	13.6%
i	6611	12.5%
d	5915	11.2%
n	3505	6.6%
o	3471	6.6%
	3452	6.5%
e	3226	6.1%
s	2492	4.7%
c	2470	4.7%
S	2132	4.0%
Other values (28)	12375	23.4%

anio_preinscripcion
Categorical

High correlation

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	162.1 KiB

2017	996
2016	446
2018	396
2020	188
2019	180
Other values (2)	199

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	9620
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2017	996	41.4%
2016	446	18.5%
2018	396	16.5%
2020	188	7.8%
2019	180	7.5%
2021	130	5.4%
2022	69	2.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2017	996	41.4%
2016	446	18.5%
2018	396	16.5%
2020	188	7.8%
2019	180	7.5%
2021	130	5.4%
2022	69	2.9%

Most occurring characters

Value	Count	Frequency (%)
2	2861	29.7%
0	2593	27.0%
1	2148	22.3%
7	996	10.4%
6	446	4.6%
8	396	4.1%
9	180	1.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9620	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	2861	29.7%
0	2593	27.0%
1	2148	22.3%
7	996	10.4%
6	446	4.6%
8	396	4.1%
9	180	1.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9620	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	2861	29.7%
0	2593	27.0%
1	2148	22.3%
7	996	10.4%
6	446	4.6%
8	396	4.1%
9	180	1.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9620	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	2861	29.7%
0	2593	27.0%
1	2148	22.3%
7	996	10.4%
6	446	4.6%
8	396	4.1%
9	180	1.9%

cant_procesos_adjudicado
Real number (ℝ)

High correlation

Distinct	113
Distinct (%)	4.7%
Missing	17
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	10.788107

Minimum	1
Maximum	468
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	9
95-th percentile	45
Maximum	468
Range	467
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	28.787629
Coefficient of variation (CV)	2.6684597
Kurtosis	96.495999
Mean	10.788107
Median Absolute Deviation (MAD)	2
Skewness	8.4093271
Sum	25762
Variance	828.7276
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	744	30.9%
2	346	14.4%
3	237	9.9%
4	152	6.3%
5	95	4.0%
6	94	3.9%
7	63	2.6%
8	52	2.2%
9	48	2.0%
11	47	2.0%
Other values (103)	510	21.2%

Value	Count	Frequency (%)
1	744	30.9%
2	346	14.4%
3	237	9.9%
4	152	6.3%
5	95	4.0%
6	94	3.9%
7	63	2.6%
8	52	2.2%
9	48	2.0%
10	43	1.8%

Value	Count	Frequency (%)
468	1	< 0.1%
455	1	< 0.1%
384	1	< 0.1%
365	1	< 0.1%
332	1	< 0.1%
298	1	< 0.1%
291	1	< 0.1%
277	1	< 0.1%
267	1	< 0.1%
227	1	< 0.1%

monto_total_adjudicado
Real number (ℝ)

High correlation Skewed

Distinct	2368
Distinct (%)	99.2%
Missing	17
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	1.7554632 × 10⁸

Minimum	0
Maximum	4.617215 × 10¹⁰
Zeros	16
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	0
5-th percentile	48533.308
Q1	1261255.2
median	8483399.7
Q3	42766677
95-th percentile	5.3246566 × 10⁸
Maximum	4.617215 × 10¹⁰
Range	4.617215 × 10¹⁰
Interquartile range (IQR)	41505422

Descriptive statistics

Standard deviation	1.3080865 × 10⁹
Coefficient of variation (CV)	7.4515178
Kurtosis	705.25475
Mean	1.7554632 × 10⁸
Median Absolute Deviation (MAD)	8250045.3
Skewness	23.188172
Sum	4.1920461 × 10¹¹
Variance	1.7110903 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	16	0.7%
1419000	5	0.2%
510000	2	0.1%
4068972.973	1	< 0.1%
4214057.143	1	< 0.1%
657495.0324	1	< 0.1%
1781374.865	1	< 0.1%
544764	1	< 0.1%
2248163.265	1	< 0.1%
6600857.143	1	< 0.1%
Other values (2358)	2358	98.0%
(Missing)	17	0.7%

Value	Count	Frequency (%)
0	16	0.7%
1.7	1	< 0.1%
36.13714286	1	< 0.1%
516.24	1	< 0.1%
805.37	1	< 0.1%
1190	1	< 0.1%
2240	1	< 0.1%
2412.02	1	< 0.1%
2450	1	< 0.1%
2662	1	< 0.1%

Value	Count	Frequency (%)
4.617215015 × 10¹⁰	1	< 0.1%
2.22605735 × 10¹⁰	1	< 0.1%
1.917565525 × 10¹⁰	1	< 0.1%
1.397951455 × 10¹⁰	1	< 0.1%
1.219233471 × 10¹⁰	1	< 0.1%
1.12638198 × 10¹⁰	1	< 0.1%
1.004316276 × 10¹⁰	1	< 0.1%
7675861678	1	< 0.1%
6782343325	1	< 0.1%
6458785714	1	< 0.1%

antiguedad
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3056133

Minimum	0
Maximum	5
Zeros	199
Zeros (%)	8.3%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.481777
Coefficient of variation (CV)	0.44826085
Kurtosis	-0.10533571
Mean	3.3056133
Median Absolute Deviation (MAD)	1
Skewness	-0.9470501
Sum	7950
Variance	2.1956632
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	996	41.4%
5	446	18.5%
3	396	16.5%
0	199	8.3%
1	188	7.8%
2	180	7.5%

Value	Count	Frequency (%)
0	199	8.3%
1	188	7.8%
2	180	7.5%
3	396	16.5%
4	996	41.4%
5	446	18.5%

Value	Count	Frequency (%)
5	446	18.5%
4	996	41.4%
3	396	16.5%
2	180	7.5%
1	188	7.8%
0	199	8.3%

provincia
Categorical

Distinct	27
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	272.2 KiB

Ciudad Autónoma de Buenos Aires	1184
Buenos Aires	440
Córdoba	142
Santa Fe	108
Extranjera	81
Other values (22)	450

Length

Max length	31
Median length	19
Mean length	20.167568
Min length	5

Characters and Unicode

Total characters	48503
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Ciudad Autónoma de Buenos Aires
2nd row	Ciudad Autónoma de Buenos Aires
3rd row	Buenos Aires
4th row	Buenos Aires
5th row	Ciudad Autónoma de Buenos Aires

Common Values

Value	Count	Frequency (%)
Ciudad Autónoma de Buenos Aires	1184	49.2%
Buenos Aires	440	18.3%
Córdoba	142	5.9%
Santa Fe	108	4.5%
Extranjera	81	3.4%
Mendoza	73	3.0%
Tierra del Fuego	42	1.7%
Chubut	32	1.3%
Neuquén	30	1.2%
Entre Rios	27	1.1%
Other values (17)	246	10.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aires	1624	20.5%
buenos	1624	20.5%
autónoma	1184	15.0%
ciudad	1184	15.0%
de	1184	15.0%
córdoba	142	1.8%
santa	125	1.6%
fe	108	1.4%
extranjera	81	1.0%
mendoza	73	0.9%
Other values (28)	590	7.5%

Most occurring characters

Value	Count	Frequency (%)
	5514	11.4%
e	4981	10.3%
u	4301	8.9%
d	3821	7.9%
s	3369	6.9%
a	3278	6.8%
n	3277	6.8%
o	3238	6.7%
i	2993	6.2%
A	2808	5.8%
Other values (30)	10923	22.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	48503	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5514	11.4%
e	4981	10.3%
u	4301	8.9%
d	3821	7.9%
s	3369	6.9%
a	3278	6.8%
n	3277	6.8%
o	3238	6.7%
i	2993	6.2%
A	2808	5.8%
Other values (30)	10923	22.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	48503	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5514	11.4%
e	4981	10.3%
u	4301	8.9%
d	3821	7.9%
s	3369	6.9%
a	3278	6.8%
n	3277	6.8%
o	3238	6.7%
i	2993	6.2%
A	2808	5.8%
Other values (30)	10923	22.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	48503	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5514	11.4%
e	4981	10.3%
u	4301	8.9%
d	3821	7.9%
s	3369	6.9%
a	3278	6.8%
n	3277	6.8%
o	3238	6.7%
i	2993	6.2%
A	2808	5.8%
Other values (30)	10923	22.5%

cant_socios
Real number (ℝ)

Missing

Distinct	18
Distinct (%)	0.9%
Missing	297
Missing (%)	12.3%
Infinite	0
Infinite (%)	0.0%
Mean	2.341556

Minimum	1
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	23
Range	22
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.7698739
Coefficient of variation (CV)	0.75585376
Kurtosis	25.529278
Mean	2.341556
Median Absolute Deviation (MAD)	1
Skewness	3.8995916
Sum	4936
Variance	3.1324536
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
2	808	33.6%
1	670	27.9%
3	320	13.3%
4	153	6.4%
5	76	3.2%
6	33	1.4%
7	13	0.5%
8	8	0.3%
14	5	0.2%
10	4	0.2%
Other values (8)	18	0.7%
(Missing)	297	12.3%

Value	Count	Frequency (%)
1	670	27.9%
2	808	33.6%
3	320	13.3%
4	153	6.4%
5	76	3.2%
6	33	1.4%
7	13	0.5%
8	8	0.3%
9	4	0.2%
10	4	0.2%

Value	Count	Frequency (%)
23	1	< 0.1%
17	3	0.1%
16	1	< 0.1%
15	1	< 0.1%
14	5	0.2%
13	2	0.1%
12	2	0.1%
11	4	0.2%
10	4	0.2%
9	4	0.2%

cant_apercibimientos
Unsupported

Missing Rejected Unsupported

Missing	2405
Missing (%)	100.0%
Memory size	37.6 KiB

cant_suspensiones
Categorical

High correlation Missing

Distinct	2
Distinct (%)	22.2%
Missing	2396
Missing (%)	99.6%
Memory size	150.3 KiB

1.0	8
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	27
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	11.1%

Sample

1st row	2.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	8	0.3%
2.0	1	< 0.1%
(Missing)	2396	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	8	88.9%
2.0	1	11.1%

Most occurring characters

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	8	29.6%
2	1	3.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	8	29.6%
2	1	3.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	8	29.6%
2	1	3.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	9	33.3%
0	9	33.3%
1	8	29.6%
2	1	3.7%

cant_antecedentes
Categorical

High correlation Missing

Distinct	2
Distinct (%)	16.7%
Missing	2393
Missing (%)	99.5%
Memory size	150.4 KiB

1.0	10
2.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	2.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	10	0.4%
2.0	2	0.1%
(Missing)	2393	99.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	10	83.3%
2.0	2	16.7%

Most occurring characters

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	10	27.8%
2	2	5.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	10	27.8%
2	2	5.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	10	27.8%
2	2	5.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	10	27.8%
2	2	5.6%

cant_Apoderado
Real number (ℝ)

High correlation Missing

Distinct	12
Distinct (%)	0.6%
Missing	252
Missing (%)	10.5%
Infinite	0
Infinite (%)	0.0%
Mean	1.701347

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	12
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0290768
Coefficient of variation (CV)	0.60486006
Kurtosis	19.924656
Mean	1.701347
Median Absolute Deviation (MAD)	0
Skewness	3.3256667
Sum	3663
Variance	1.0589991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	1106	46.0%
2	781	32.5%
3	169	7.0%
4	57	2.4%
5	20	0.8%
6	5	0.2%
7	5	0.2%
8	4	0.2%
11	2	0.1%
10	2	0.1%
Other values (2)	2	0.1%
(Missing)	252	10.5%

Value	Count	Frequency (%)
1	1106	46.0%
2	781	32.5%
3	169	7.0%
4	57	2.4%
5	20	0.8%
6	5	0.2%
7	5	0.2%
8	4	0.2%
9	1	< 0.1%
10	2	0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
11	2	0.1%
10	2	0.1%
9	1	< 0.1%
8	4	0.2%
7	5	0.2%
6	5	0.2%
5	20	0.8%
4	57	2.4%
3	169	7.0%

cant_representante
Real number (ℝ)

Missing

Distinct	6
Distinct (%)	0.4%
Missing	788
Missing (%)	32.8%
Infinite	0
Infinite (%)	0.0%
Mean	1.2702536

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	10
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.57747487
Coefficient of variation (CV)	0.45461386
Kurtosis	35.889824
Mean	1.2702536
Median Absolute Deviation (MAD)	0
Skewness	3.8935101
Sum	2054
Variance	0.33347723
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	1250	52.0%
2	315	13.1%
3	41	1.7%
4	9	0.4%
5	1	< 0.1%
10	1	< 0.1%
(Missing)	788	32.8%

Value	Count	Frequency (%)
1	1250	52.0%
2	315	13.1%
3	41	1.7%
4	9	0.4%
5	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
5	1	< 0.1%
4	9	0.4%
3	41	1.7%
2	315	13.1%
1	1250	52.0%

cant_autenticado
Real number (ℝ)

Distinct	9
Distinct (%)	0.4%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.7699667

Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	11
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.80979018
Coefficient of variation (CV)	0.45751718
Kurtosis	19.653606
Mean	1.7699667
Median Absolute Deviation (MAD)	0
Skewness	2.6444851
Sum	4255
Variance	0.65576013
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	1235	51.4%
1	914	38.0%
3	195	8.1%
4	37	1.5%
5	15	0.6%
6	4	0.2%
11	2	0.1%
9	1	< 0.1%
8	1	< 0.1%
(Missing)	1	< 0.1%

Value	Count	Frequency (%)
1	914	38.0%
2	1235	51.4%
3	195	8.1%
4	37	1.5%
5	15	0.6%
6	4	0.2%
8	1	< 0.1%
9	1	< 0.1%
11	2	0.1%

Value	Count	Frequency (%)
11	2	0.1%
9	1	< 0.1%
8	1	< 0.1%
6	4	0.2%
5	15	0.6%
4	37	1.5%
3	195	8.1%
2	1235	51.4%
1	914	38.0%

cant_noAutenticado
Real number (ℝ)

High correlation Missing

Distinct	10
Distinct (%)	0.9%
Missing	1321
Missing (%)	54.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.3487085

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	12
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.92477353
Coefficient of variation (CV)	0.6856734
Kurtosis	34.772416
Mean	1.3487085
Median Absolute Deviation (MAD)	0
Skewness	4.8554939
Sum	1462
Variance	0.85520609
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	859	35.7%
2	145	6.0%
3	54	2.2%
5	8	0.3%
6	8	0.3%
4	6	0.2%
10	1	< 0.1%
9	1	< 0.1%
8	1	< 0.1%
12	1	< 0.1%
(Missing)	1321	54.9%

Value	Count	Frequency (%)
1	859	35.7%
2	145	6.0%
3	54	2.2%
4	6	0.2%
5	8	0.3%
6	8	0.3%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
10	1	< 0.1%
9	1	< 0.1%
8	1	< 0.1%
6	8	0.3%
5	8	0.3%
4	6	0.2%
3	54	2.2%
2	145	6.0%
1	859	35.7%

cant_sinMontoLimite
Real number (ℝ)

High correlation

Distinct	13
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3754678

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	2
Q3	2
95-th percentile	4
Maximum	13
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.92613033
Coefficient of variation (CV)	0.38987282
Kurtosis	34.511311
Mean	2.3754678
Median Absolute Deviation (MAD)	0
Skewness	4.6797065
Sum	5713
Variance	0.85771739
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	1825	75.9%
3	383	15.9%
4	118	4.9%
5	37	1.5%
6	14	0.6%
1	10	0.4%
7	7	0.3%
8	3	0.1%
12	3	0.1%
11	2	0.1%
Other values (3)	3	0.1%

Value	Count	Frequency (%)
1	10	0.4%
2	1825	75.9%
3	383	15.9%
4	118	4.9%
5	37	1.5%
6	14	0.6%
7	7	0.3%
8	3	0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	3	0.1%
11	2	0.1%
10	1	< 0.1%
9	1	< 0.1%
8	3	0.1%
7	7	0.3%
6	14	0.6%
5	37	1.5%
4	118	4.9%

cant_MontoLimite
Categorical

Constant Missing

Distinct	1
Distinct (%)	25.0%
Missing	2401
Missing (%)	99.8%
Memory size	150.3 KiB

1.0	4

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	12
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4	0.2%
(Missing)	2401	99.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	4	33.3%
.	4	33.3%
0	4	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	4	33.3%
.	4	33.3%
0	4	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	4	33.3%
.	4	33.3%
0	4	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	4	33.3%
.	4	33.3%
0	4	33.3%

total_articulos_provee
Real number (ℝ)

High correlation

Distinct	294
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.161331

Minimum	1
Maximum	4867
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	37.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	9
Q3	34
95-th percentile	236.6
Maximum	4867
Range	4866
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	161.13078
Coefficient of variation (CV)	3.0890849
Kurtosis	345.37784
Mean	52.161331
Median Absolute Deviation (MAD)	8
Skewness	13.736437
Sum	125448
Variance	25963.128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	445	18.5%
2	186	7.7%
4	132	5.5%
3	124	5.2%
5	86	3.6%
7	76	3.2%
6	71	3.0%
9	55	2.3%
8	54	2.2%
11	50	2.1%
Other values (284)	1126	46.8%

Value	Count	Frequency (%)
1	445	18.5%
2	186	7.7%
3	124	5.2%
4	132	5.5%
5	86	3.6%
6	71	3.0%
7	76	3.2%
8	54	2.2%
9	55	2.3%
10	38	1.6%

Value	Count	Frequency (%)
4867	1	< 0.1%
1732	1	< 0.1%
1414	1	< 0.1%
1272	1	< 0.1%
1078	1	< 0.1%
982	1	< 0.1%
939	1	< 0.1%
912	1	< 0.1%
893	2	0.1%
890	1	< 0.1%

cluster_k_4
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	155.0 KiB

3	2405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2405
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	2405	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2405	100.0%

Most occurring characters

Value	Count	Frequency (%)
3	2405	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2405	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2405	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2405	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2405	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2405	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2405	100.0%

Interactions

Correlations

	Estado	TipoSocietario	anio_preinscripcion	antiguedad	cant_Apoderado	cant_antecedentes	cant_autenticado	cant_noAutenticado	cant_procesos_adjudicado	cant_representante	cant_sinMontoLimite	cant_socios	cant_suspensiones	monto_total_adjudicado	provincia	total_articulos_provee
Estado	1.000	0.213	0.124	0.137	0.000	0.462	0.053	0.069	0.000	0.032	0.005	0.000	0.000	0.000	0.190	0.000
TipoSocietario	0.213	1.000	0.142	0.151	0.059	0.000	0.064	0.068	0.000	0.166	0.075	0.098	0.000	0.071	0.341	0.041
anio_preinscripcion	0.124	0.142	1.000	1.000	0.000	0.949	0.000	0.048	0.062	0.058	0.016	0.044	0.926	0.000	0.135	0.000
antiguedad	0.137	0.151	1.000	1.000	0.076	0.949	-0.103	0.102	0.395	0.000	0.088	0.084	0.926	0.257	0.134	0.146
cant_Apoderado	0.000	0.059	0.000	0.076	1.000	0.534	0.247	0.519	0.093	0.041	0.563	0.168	0.913	0.087	0.000	0.031
cant_antecedentes	0.462	0.000	0.949	0.949	0.534	1.000	0.000	1.000	0.000	0.000	0.553	0.000	0.275	1.000	0.000	0.000
cant_autenticado	0.053	0.064	0.000	-0.103	0.247	0.000	1.000	0.082	-0.021	0.148	0.305	0.006	0.275	-0.010	0.000	-0.000
cant_noAutenticado	0.069	0.068	0.048	0.102	0.519	1.000	0.082	1.000	0.070	0.287	0.763	0.210	1.000	0.111	0.019	0.016
cant_procesos_adjudicado	0.000	0.000	0.062	0.395	0.093	0.000	-0.021	0.070	1.000	-0.028	0.085	0.069	0.000	0.597	0.000	0.303
cant_representante	0.032	0.166	0.058	0.000	0.041	0.000	0.148	0.287	-0.028	1.000	0.233	0.144	0.000	-0.024	0.000	0.008
cant_sinMontoLimite	0.005	0.075	0.016	0.088	0.563	0.553	0.305	0.763	0.085	0.233	1.000	0.158	0.926	0.118	0.000	0.011
cant_socios	0.000	0.098	0.044	0.084	0.168	0.000	0.006	0.210	0.069	0.144	0.158	1.000	0.000	0.121	0.000	0.011
cant_suspensiones	0.000	0.000	0.926	0.926	0.913	0.275	0.275	1.000	0.000	0.000	0.926	0.000	1.000	1.000	0.000	1.000
monto_total_adjudicado	0.000	0.071	0.000	0.257	0.087	1.000	-0.010	0.111	0.597	-0.024	0.118	0.121	1.000	1.000	0.000	0.079
provincia	0.190	0.341	0.135	0.134	0.000	0.000	0.000	0.019	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000
total_articulos_provee	0.000	0.041	0.000	0.146	0.031	0.000	-0.000	0.016	0.303	0.008	0.011	0.011	1.000	0.079	0.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	cluster_k_4
8	20305924076	Suministros EDA	13/10/2016	Inscripto	Persona Física	2016	147.0	9.393091e+07	5.0	Ciudad Autónoma de Buenos Aires	NaN	NaN	NaN	NaN	2.0	NaN	1.0	1.0	2.0	NaN	107.0	3
14	30710210000	TECNARAN SRL	06/09/2016	Inscripto	Sociedad Responsabilidad Limitada	2016	19.0	1.289448e+08	5.0	Ciudad Autónoma de Buenos Aires	1.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	1.0	3
15	33714924619	SIGNIFY ARGENTINA S.A.	18/10/2016	Inscripto	Sociedad Anónima	2016	1.0	1.943875e+07	5.0	Buenos Aires	4.0	NaN	NaN	NaN	2.0	1.0	1.0	2.0	3.0	NaN	1.0	3
17	33561600959	Rognoni y CIA SA	21/09/2016	Inscripto	Sociedad Anónima	2016	4.0	2.651773e+06	5.0	Buenos Aires	2.0	NaN	NaN	NaN	NaN	2.0	2.0	NaN	2.0	NaN	71.0	3
19	30694465591	ADSUR S.A..	22/09/2016	Inscripto	Sociedad Anónima	2016	6.0	4.605003e+07	5.0	Ciudad Autónoma de Buenos Aires	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	1.0	3
25	30678221976	FÁBRICA ARGENTINA DE AVIONES "BRIG. SAN MARTÍN" S.A..	17/11/2016	Inscripto	Sociedad Anónima	2016	63.0	1.917566e+10	5.0	Córdoba	4.0	NaN	NaN	NaN	1.0	NaN	1.0	NaN	1.0	NaN	14.0	3
26	30707870571	BASESIDE S.R.L.	19/08/2016	Inscripto	Sociedad Responsabilidad Limitada	2016	20.0	8.117709e+06	5.0	Ciudad Autónoma de Buenos Aires	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	6.0	3
28	30708995157	Netlabs SRL	24/08/2016	Desactualizado Por Documentos Vencidos	Sociedad Responsabilidad Limitada	2016	3.0	3.583917e+06	5.0	Ciudad Autónoma de Buenos Aires	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	237.0	3
31	30707480714	M. B. G. COMERCIAL S. R. L.	03/08/2016	Inscripto	Sociedad Responsabilidad Limitada	2016	468.0	2.785304e+08	5.0	Ciudad Autónoma de Buenos Aires	2.0	NaN	NaN	NaN	NaN	2.0	2.0	NaN	2.0	NaN	573.0	3
33	30708085207	TNGROUP S.A.	16/09/2016	Inscripto	Sociedad Anónima	2016	39.0	2.372857e+09	5.0	Ciudad Autónoma de Buenos Aires	3.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	33.0	3

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	cluster_k_4
10030	30642796131	PERFIL S.R.L.	29/07/2020	Inscripto	Sociedad Responsabilidad Limitada	2020	1.0	1.037790e+06	1.0	Neuquén	7.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	25.0	3
10038	30527725247	SODA DI MARCO S.R.L.	16/10/2018	Inscripto	Sociedad Responsabilidad Limitada	2018	1.0	6.557143e+04	3.0	Mendoza	3.0	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	3.0	3
10040	30674562620	INAR VIAL S.A.	22/08/2022	Inscripto	Sociedad Anónima	2022	2.0	7.810812e+06	0.0	Santa Fe	5.0	NaN	NaN	NaN	1.0	4.0	1.0	4.0	5.0	NaN	1.0	3
10041	20086498295	sin datos	20/12/2021	Inscripto	Persona Física	2021	1.0	6.838163e+05	0.0	La Rioja	NaN	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	5.0	3
10043	30713790407	PEDRO GOITIA S.R.L.	20/03/2017	Inscripto	Sociedad Responsabilidad Limitada	2017	1.0	1.997880e+07	4.0	Ciudad Autónoma de Buenos Aires	3.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	9.0	3
10044	30708304472	DROGUERIA GENESIS S.A	23/02/2017	Inscripto	Sociedad Anónima	2017	2.0	1.026534e+07	4.0	Ciudad Autónoma de Buenos Aires	2.0	NaN	NaN	NaN	NaN	2.0	2.0	NaN	2.0	NaN	832.0	3
10051	30707885595	Dirsin Corporation S.A.	23/02/2018	Desactualizado Por Mantencion Formulario	Sociedad Anónima	2018	1.0	3.166163e+07	3.0	Ciudad Autónoma de Buenos Aires	1.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	1.0	3
10057	20414755632	sin datos	13/09/2022	Inscripto	Persona Física	2022	1.0	2.145238e+06	0.0	Chubut	NaN	NaN	NaN	NaN	2.0	NaN	1.0	1.0	2.0	NaN	1.0	3
10062	20149549987	TRANSPORTES ROBOL	07/02/2017	Desactualizado Por Mantencion Formulario	Persona Física	2017	1.0	5.261905e+06	4.0	Corrientes	NaN	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	4.0	3
10072	30518773743	Hotel Astor Sociedad Anonima Comercial	25/07/2022	Inscripto	Sociedad Anónima	2022	1.0	1.757476e+07	0.0	Ciudad Autónoma de Buenos Aires	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	6.0	3

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts